An Efficient Architecture for Trust Management in IoE Based Systems of Systems

Kouicem, Djamel Eddine; Bouabdallah, Abdelmadjid; Lakhlef, Hicham

doi:10.1109/sysose.2018.8428732

Cited by 21 publications

(20 citation statements)

References 22 publications

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“…Subsequently, they improve the architecture to minimize the computation and the storage cost: each object saves and updates only trust of the objects of its interest [16]. In order to allow IoT objects to save tamper-proof trust information, Kouicem et al [38] use their blockchain-based architecture to model trust. The blockchain provides a tamper-proof data structure but it is not efficient compared to storage footprint and lookup time [27], [35], [57], [61], [76].…”

Section: B Distributed Architecturesmentioning

confidence: 99%

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Trust and Reputation in the Internet of Things: State-of-the-Art and Research Challenges

et al. 2020

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This paper deals with the principal aspects emerging from the application of trust techniques to the IoT domains with respect to the particular viewpoint of an IoT environment. We consider intelligent agents technology to add social behavior to the community of the smart objects, and we analyze the fundamental role of the concepts of trust and reputation in this perspective. Also, we analyze the existing architectures for IoT and explain how to integrate IoT with fog/edge computing. Besides discussing the main proposals present in the literature, the key contribution of this paper consists of providing a comparative study of the main current architectures for modeling trust in IoT environments. In this setting, we propose a comparison based on the important characteristics of the IoT layer and the architecture type. Such an analysis allows us to highlight both advantages and limitations of each approach, and to discuss the emerging research challenges. INDEX TERMS Internet of Things, multi-agent system, reputation, trust, edge/fog computing.

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Section: B Distributed Architecturesmentioning

confidence: 99%

“…Note that the things are unable to offer like trust computation, trust propagation, trust updates, and trust storage. In fact, only the architecture in [38] introduce the trust model in the fog layer. The use of the blockchain allows to store the trust values of the nodes and to ensure scalability mobility.…”

Section: Conclusion and Research Challengesmentioning

confidence: 99%

Trust and Reputation in the Internet of Things: State-of-the-Art and Research Challenges

et al. 2020

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“…Authors in [7] proposed their blockchain-based architecture for modeling trust to enable IoT nodes to store tamper-proof trust information. In this paradigm, each node stores the full data of the entire system creating unnecessary redundancy.…”

Section: Internet-of-things Architectures For Modeling Trustmentioning

confidence: 99%

“…On the other hand, behavior issues for IoT devices have just recently started to get attention from the research community [1,7,8,9,10,11,12]. Having created a smart environment, the IoT vision is to allow different sensors to disseminate vital data including the human body and environmental measurements.…”

Section: Introductionmentioning

confidence: 99%

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Internet-of-Things and Information Fusion: Trust Perspective Survey

Azzedin

Ghaleb

2019

Sensors

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The advent of Internet-of-Things (IoT) is creating an ecosystem of smart applications and services enabled by a multitude of sensors. The real value of these IoT smart applications comes from analyzing the information provided by these sensors. Information fusion improves information completeness/quality and, hence, enhances estimation about the state of things. Lack of trust and therefore, malicious activities renders the information fusion process and hence, IoT smart applications unreliable. Behavior-related issues associated with the data sources, such as trustworthiness, honesty, and accuracy, must be addressed before fully utilizing these smart applications. In this article, we argue that behavior trust modeling is indispensable to the success of information fusion and, hence, to smart applications. Unfortunately, the area is still in its infancy and needs further research to enhance information fusion. The aim of this article is to raise the awareness and the need of behavior trust modelling and its effect on information fusion. Moreover, this survey describes IoT architectures for modelling trust as well as classification of current IoT trust models. Finally, we discuss future directions towards trustworthy reliable fusion techniques.

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Secure Internet of Things network using light‐weighted trust and blockchain‐powered PoW framework

Vairagade

Hanumantha

2022

Concurrency and Computation

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Blockchain technology comprises security algorithms that work efficiently on battery powered devices. Low energy and delay indicate the effectiveness of any security mechanism. However, it is challenging for the algorithms to achieve low energy and delay because of various attacks. To identify and protect against various kinds of IoT attacks, a light-weighted trust, and blockchain-powered PoW framework are proposed in this article. A proof of work (PoW) consensus is utilized on the router side to validate the block before the blockchain accepts it. The flexibility of block design is the main benefit of PoW powered blockchain, so it can modify based on IoT applications.Moreover, trust is one of the major issues in IoT networks. Trust can be established among users during node processing and communication between nodes. This trust is significant for transferring the data from source to destination and the uncertainty of service availability in IoT applications. A trust evaluation between participating nodes and the blockchain mechanism are integrated into this work to cover authorization and authentication. The efficiency of the proposed trust model is evaluated in terms of trust evolution and trustworthy network and compared with the existing trust models. In the experimental analysis, the efficiency of the proposed blockchain-powered network is analyzed in terms of energy, delay and processing time. The experimental outcomes proved that the proposed lightweight trust and blockchain-powered PoW are more efficient than other approaches.

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An Efficient Architecture for Trust Management in IoE Based Systems of Systems

Cited by 21 publications

References 22 publications

Trust and Reputation in the Internet of Things: State-of-the-Art and Research Challenges

Trust and Reputation in the Internet of Things: State-of-the-Art and Research Challenges

Internet-of-Things and Information Fusion: Trust Perspective Survey

Secure Internet of Things network using light‐weighted trust and blockchain‐powered PoW framework

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